 My name is Malik. I manage the airborne product roadmap at Tel-Dyn Optech and Tel-Dyn Juicepacial more broadly. If you've encountered me in the past, you know me as the person that manages the development of airborne topo LiDAR sensors. That continues to be the case. I'm additionally involved in the development of airborne bathymetric sensors. And today, we're actually talking beyond the sensor. We continue to produce leading sensors for data acquisition. But we have also spent an enormous amount of time with customers, and we understand that there are issues that exist in the collection, but also after the collection. So today, I'll be talking about industries first and industries only, real-time processing, and real-time quality control solution for airborne LiDAR data. So for those of you who are not familiar with us, we're Tel-Dyn Juicepacial. We're a consolidation of two industry leaders. One is Tel-Dyn Keras, a leader in the production of software for hydrographic and marine processing, as well as Optech, who is a leader in the production of sensors, LiDAR sensors largely. We operate in most continents, and we are entirely passionate about solutions that span land and water. I'll start a little bit with a state of where industry is. This is kind of from the perspective of clients that we have spent an enormous amount of time with in interviews, in their shops, and being quite intimate with them. The state overall is there are many sensors on the market. They're all good sensors. They all collect data. But there is a sense of flooding of data, and turnaround time is quite challenging. There's this famous quote from a Deloitte report, which is, everyone is drowning in data, but starving for insight. And you add to that a problem of hiring. When we look at job postings, we find that, increasingly, employers are looking for anyone to do the job. You can see things like if you have a high school degree, if you're willing to travel, if you can use a computer. So we understand that there's a demand for industry, but also a challenge in finding the right kind of skill. So what we did is, as I mentioned, we spent an enormous amount of time in interviewing customers. And we understand from them that there is a need for innovative, not just hardware, not just software, but unified holistic solutions that do more in real time. There's a lot of dead time in the airplane that is not being utilized. Solutions that accelerate the workflow, not workflow in the office, not workflow in the airplane, but workflow from the airplane all the way to the office. And ultimately, solutions that instill confidence, that give customers and organizations the feeling that this data, I'm confident in it, I can move it in my pipeline, but I can also deliver it to my customer on time. So what did we do with this information? We introduced Galaxy Onboard, which is an onboard solution that extends our leading airborne topo sensor, the Galaxy. It's an enhanced flight management system that also processes LIDAR data at full resolution in real time without any decimation and also applies the quality control on the point cloud directly in the airplane. In essence, we are uploading what we do on the ground and in the office into the airplane with the overall objective of instilling confidence in data, increasing the ROI for organizations because they can deliver projects faster and, very importantly, opening this ability to deliver to projects that require real time data. You can think of emergencies or rapid response or something of that nature. So how does it work? In the air, data is being collected. That's gray. And in real time, data is being processed. We have about one second lag with most densities. And then as the data gets processed, it also gets QCED. So by the time this airplane ends the line, data has been processed, data has been QCED, and you on your disk have access to raw, processed, and quality-controlled data. So if there's anything you should walk away with this presentation is really these four key points that will come up on the slide, which is why is this relevant? Why is this such a big deal? And why does it move the needle for organizations? On-board reduces standby and rework cost. On-board enables organizations to do milestone billing, which we will unpack shortly. It enables not just organizations, but really this entire industry, to truly do real-time, rapid response for applications that truly require it. Many of us claim that we can do real-time, but no one until on-board has been able to truly deliver full resolution LiDAR data directly from the airplane. And then ultimately, on-board reduces the training cost because of the user-verted design that you will see shortly. OK, so as I said earlier, in the airplane, as an operator, you will get an indication of where the data meets the QC requirement that you have set in the office. This is QC for things like density and QC for things like gaps. You will also see where the data is mediocre. It's in a worn state. And you see where the data fails that QC spec. Right now, as many of you know, the only way for you to do QC is to land the airplane and do some routine of QC on the ground, which is many, many hours and much more cost incurred, and it happens after the flight. This happens in the airplane. So let's walk through a quick understanding of what this means financially. Our moderator initially said that we all care about the technical, but this is a session where we want to think about more implications of the data. So when we think of the cost, right now, you go fly a project, let's put a random number of $10,000 for five hours of flight. Unfortunately, you do not know the quality of the data, so you have to incur some cost in landing, doing some QC, paying hotel stays and field crews. And then you wait for the QC results, and you end up finding that I'm not meeting my specs. At least I'm not meeting it everywhere. So what you end up doing is you have to incur the cost of reflight. You have to do this all over again, and then ultimately do the QC again, because you're still not sure of the quality of the data. And only when it passes can you proceed. This overall kind of five hours of flight can cost $30,000 between collection and QC and cost on the ground. With onboard, it's a much simpler situation. Everything is zeroed out because the QC happens in the airplane. And if you do need to reflight data, you reflight right away. You tap the line that is red, then you reflight that line. So your cost is reduced quite substantially, and we continue to support customers on reducing their cost by up to 60%. Another thing that I mentioned is milestone billing. This is something that Galaxy on board, because it produces incremental QC reports every single flight, can give you the ability to respond to customers that say, we need a report every flight or every two flights, and we will pay accordingly. So this is something that you will get straight off the plane that will help your operation. And as I mentioned earlier, Galaxy on board is the first and the only system on the market that produces real-time data in the airplane. For applications like flooding or assessing damage in electric infrastructure, this is quite key. I'll show you an example later about key electric utilities that are utilizing this solution for detection of damage on infrastructure in real-time. As I mentioned earlier, this design was really fueled by sitting down with operators and pilots all over the world and to try and understand what gives them anxiety and what gives them a sense of productivity. So we have instilled an ability to reduce training cost as a function of Galaxy on board. I'll show you two or three examples of Galaxy on board in action, and then we'll wrap it up. So this is an example from a customer that said, hey, we flew in a mountainous area with a lot of turbulence. We had a new pilot, and the data came back. It had a whole lot of gaps. What can onboard do? Can onboard help us with this situation? Because it happens quite often. So you'll see the gaps here on the side of the swath. You'll see that due to turbulence and the pilot, the airplane was rolling up to 10, 15 degrees, in some cases, online. So we took the data and we ran it through Galaxy on board. This is what the operator would have seen. They would have seen that density and gaps are being identified in real-time. And they would be able to see when the pilot and turbulence cause a lot of deviations from the plan, whether it's roll, pitch, heading, or position. And you can see the quality of the data on the screen. Ultimately, we needed to know, is this actually finding the issues? So we took the quality control from Galaxy on board, who identified every area that has an issue. And then we matched it with the point cloud. And to the customer's satisfaction, when onboard said there was an issue, there was a gap, or there was a big edge gap due to roll or clouds, et cetera. Similarly, a different customer using Galaxy on board has issues with clouds and turbulence and water bodies. And they are never sure, is this a gap that's real? Is it due a lake? Can I fix it? So they provided this view, which is a density map, where green shows areas where density is being reduced. And also to their satisfaction, with Galaxy on board, you can see exactly where the lakes are and exactly where turbulence density reductions happen. This is something that the customer takes hours, sometimes days to produce. And with Galaxy on board, this is produced in real time and can help make decisions about what is happening where. Last but not least, as I mentioned earlier, the data is being produced at full resolution. We have a major interest from electric companies who have storms going through their areas. And then they find themselves in a position of which electric infrastructure has been damaged because we need to prioritize our forces there. This is data from Galaxy on board. We get the real time data. We stream it through an additional service that identifies damage. And you can see here, poles that are leaning and are close to being destroyed. This helps electric utilities identify exactly where things are so that they can prioritize a response there. Right now, this is a process that takes electric utilities weeks to months, depending on the impact and the size. With Galaxy on board, they take this down to 24 hour cycles. As I mentioned earlier, Galaxy on board is a productivity enhancing tool. It's a fundamental rework of workflow in our airborne industry. It aims to reduce cost. It aims to reduce standby and reflight cost to enable organizations to do milestone billing. It enables a true response to emergency situations and helps people adopt airborne geospatial technology with a much shorter cycle of training. I'll be in Hall 27. We have Galaxy on board, as well as Galaxy, the sensor on display. We can more than happy to do demos. Please stop by. Thank you very much.